Digital Human Modeling

1. Front Matter

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2. Human Dynamics

   1. Implantable Computing

      • Kevin Warwick, Mark Gasson

      Pages 1-16

   2. Brainwave-Based Imagery Analysis

      • Andrew J. Cowell, Kelly Hale, Chris Berka, Sven Fuchs, Angela Baskin, David Jones et al.

      Pages 17-27

   3. Visual Digest Networks

      • Yang Cai, Guillaume Milcent, Ludmila Marian

      Pages 28-46

3. Virtual Humans

   1. Biomedical Modeling in Tele-Immersion

      • Zhuming Ai, Raymond Evenhouse, Jason Leigh, Fady Charbel, Mary L. Rasmussen

      Pages 47-70

   2. Virtual Fit Study of Pediatric Heart Assist System

      • Arielle Drummond, James Antaki

      Pages 71-89

   3. Virtual Clinical Therapy

      • Giuseppe Riva, Andrea Gaggioli

      Pages 90-107

   4. Virtual Human Problem-Solving Environments

      • Richard C. Ward, Line C. Pouchard, Nancy B. Munro, Sarah K. Fischer

      Pages 108-132

   5. Biomechanical Modeling from In-Vivo Data

      • Luigi Bertozzi, Rita Stagni, Silvia Fantozzi, Angelo Cappello

      Pages 133-160

4. Human Forms

   1. Natural Form Modeling

      • Douglas D. Robertson, Gulshan B. Sharma

      Pages 161-175

   2. Augmented Privacy with Virtual Humans

      • Yang Cai, Iryna Pavlyshak, Joseph Laws, Ryan Magargle, James Hoburg

      Pages 176-193

   3. 3D Facial Recognition with Soft Computing

      • Yeung-Hak Lee, Chang-Wook Han, Tae-Sun Kim

      Pages 194-205

   4. Digital Human Modeling

      • Yang Cai

      Pages 206-206

5. Back Matter

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The emerging information technologies have enabled new human patterns ranging from physiological interactions to psychological interactions. Perhaps the best example is the rapid ‘evolution’ of our thumbs from simply holding to controlling mobile devices in just a few years recently. Taking the medical field as an example, the fast-growing technologies such as pill cameras, implantable devices, robotic surgeries, and virtual reality training methods will change the way we live and work. Human Algorithms aim to model human forms, interactions, and dynamics in this new context. Human Algorithms are engineering methods that are beyond theories. They intend to push the envelopes of multi-physics, sensing, and virtual technologies to the limit. They have become more comprehensive and inexpensive for use in real-world designs: inside monitors, connected to networks, and under the patient’s skin. This book aims to reflect the state of the art of Human Algorithms. It is a survey of innovative ideas for readers who may be new to this field. The targeted groups include college students, researchers, engineers, designers, scientists, managers, and healthcare professionals. The 11 chapters are divided into three parts: Human Dynamics, Virtual Humans, and Human Forms. Part I: Human Dynamics. In the first chapter “Implantable Computing,” Warwick and Gasson present an overview of the latest developments in the field of Brain to Computer Interfacing. They describe human experimentation in which neural implants have linked the human nervous system bi-directionally with technological devices and the Internet. In the chapter “Brainwave-Based Imagery Analysis,” Cowell et al.

• 3D scan
• GUI
• anatomy
• augmented cognition
• biological systems
• brain-computer interface
• clinical psychology
• computational analysis
• context-awareness
• electroencephalography
• eye tracking
• feature recognition
• feedback control
• fuzzy neural networks
• h

From the reviews:

"This volume features 11 selected papers from a digital humans workshop, with an emphasis on computer science (CS) … . The volume represents a snapshot of the prevailing research ideas on the interfaces between imaging and computer modeling. As such, it can be useful to researchers." (L-F. Pau, ACM Computing Reviews, June, 2009)

• Ambient Intelligence Lab, CIC-2218, Carnegie Mellon University, Pittsburgh, USA

  Yang Cai

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